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The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the oocial policies, either expressed or implied, of any other parties. Abstract Planning, the process of nding a course of action which can be executed to achieve some goal, is an important and well-studied area of AI. One of the(More)
— For many people, driving is a routine activity where people drive to the same destinations using the same routes on a regular basis. Many drivers, for example, will drive to and from work along a small set of routes, at about the same time every day of the working week. Similarly, although a person may shop on different days or at different times, they(More)
In recent years, multi-agent Partially Observable Markov Decision Processes (POMDP) have emerged as a popular decision-theoretic framework for model-ing and generating policies for the control of multi-agent teams. Teams controlled by multi-agent POMDPs can use communication to share observations and coordinate. Therefore, policies are needed to enable(More)
For the past three years, we have been running an experiment in web-based interaction with an autonomous indoor mobile robot. The robot, Xavier, can accept commands to travel to different offices in our building, broadcasting camera images as it travels. The experiment, which was originally designed to test a new navigation algorithm, has proven very(More)
We have developed a software architecture for teams of robots and humans to jointly perform tightly coordinated tasks, such as assembly of structures in orbit or on planetary surfaces. While we envision that robots will autonomously perform such work in the future, the state of the art falls short of the capabilities necessary to handle all possible(More)
This dissertation presents the complete integrated planning, executing and learning robotic agent Rogue. Physical domains are notoriously hard to model completely and correctly. Robotics researchers have developed learning algorithms to successfully tune operational parameters. Instead of improving low-level actuator control, our work focusses instead at(More)
  • V Verma, T Estlin, A Jónsson, C Pasareanu, R Simmons, K Tso +6 others
  • 2005
Space mission operations require flexible, efficient and reliable plan execution. In typical operations command sequences (which are a simple subset of general executable plans) are generated on the ground, either manually or with assistance from automated planning, and sent to the spacecraft. For more advanced operations more expressive executable plans(More)